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DeepSeek-V4-Pro-0813 vs Mistral Small 3.1 24B Instruct

Comparing DeepSeek-V4-Pro-0813 and Mistral Small 3.1 24B Instruct across benchmarks, pricing, and capabilities.

DeepSeek · Mistral AI · Updated for 2026

Which is better?

DeepSeek-V4-Pro-0813 and Mistral Small 3.1 24B Instruct trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

Based on current benchmark, pricing, and model metadata for 2026.

Choose DeepSeek-V4-Pro-0813

  • you want the most recent training data — it shipped Aug 2026

Choose Mistral Small 3.1 24B Instruct

  • you are already invested in the Mistral AI ecosystem

At a glance

The differences that matter most.

DeepSeek-V4-Pro-0813
DeepSeek
Mistral Small 3.1 24B Instruct
Mistral AI
Benchmark wins
—
—
Input price
$0.43 / M
— / M
Output price
$0.87 / M
— / M
Context window
1,048,576
—
Released
Aug 2026
Mar 2025
License
MIT
Apache 2.0

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek-V4-Pro-0813 and Mistral Small 3.1 24B Instructdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Playground indexes and blind preference scores

Model Size

Parameter count comparison

1576.0B diff

DeepSeek-V4-Pro-0813 has 1576.0B more parameters than Mistral Small 3.1 24B Instruct, making it 6566.7% larger.

DeepSeek
DeepSeek-V4-Pro-0813
1.6Tparameters
Mistral AI
Mistral Small 3.1 24B Instruct
24.0Bparameters
1600.0B
DeepSeek-V4-Pro-0813
24.0B
Mistral Small 3.1 24B Instruct

Context Window

Maximum input and output token capacity

Only DeepSeek-V4-Pro-0813 specifies input context (1,048,576 tokens). Only DeepSeek-V4-Pro-0813 specifies output context (393,216 tokens).

DeepSeek
DeepSeek-V4-Pro-0813
Input1,048,576 tokens
Output393,216 tokens
Mistral AI
Mistral Small 3.1 24B Instruct
Input- tokens
Output- tokens
Mon Aug 24 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Mistral Small 3.1 24B Instruct supports multimodal inputs, whereas DeepSeek-V4-Pro-0813 does not.

Mistral Small 3.1 24B Instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.

DeepSeek-V4-Pro-0813

Text
Images
Audio
Video

Mistral Small 3.1 24B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V4-Pro-0813 is licensed under MIT, while Mistral Small 3.1 24B Instruct uses Apache 2.0.

License differences may affect how you can use these models in commercial or open-source projects.

DeepSeek-V4-Pro-0813

MIT

Open weights

Mistral Small 3.1 24B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

DeepSeek-V4-Pro-0813 was released on 2026-08-13, while Mistral Small 3.1 24B Instruct was released on 2025-03-17.

DeepSeek-V4-Pro-0813 is 17 months newer than Mistral Small 3.1 24B Instruct.

DeepSeek-V4-Pro-0813

Aug 13, 2026

1 weeks ago

1.4yr newer
Mistral Small 3.1 24B Instruct

Mar 17, 2025

1.4 years ago

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against DeepSeek-V4-Pro-0813 and Mistral Small 3.1 24B Instruct side-by-side, then vote on the output you prefer.

DeepSeek-V4-Pro-0813
✓ Preferred
Mistral Small 3.1 24B Instruct
Open in Playground

FAQ

Common questions about DeepSeek-V4-Pro-0813 vs Mistral Small 3.1 24B Instruct.

Which is better, DeepSeek-V4-Pro-0813 or Mistral Small 3.1 24B Instruct?

DeepSeek-V4-Pro-0813 (DeepSeek) and Mistral Small 3.1 24B Instruct (Mistral AI) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does DeepSeek-V4-Pro-0813 compare to Mistral Small 3.1 24B Instruct in benchmarks?

DeepSeek-V4-Pro-0813 scores Terminal-Bench 2.1: 87.9%, CyberGym: 83.3%, Toolathlon: 74.1%, DSBench-FullStack: 71.1%, DSBench-Hard: 67.2%. Mistral Small 3.1 24B Instruct scores HumanEval: 88.4%, MMLU: 80.6%, TriviaQA: 80.5%, MBPP: 74.7%, MATH: 69.3%.

What are the context window sizes for DeepSeek-V4-Pro-0813 and Mistral Small 3.1 24B Instruct?

DeepSeek-V4-Pro-0813 supports 1.0M tokens and Mistral Small 3.1 24B Instruct supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between DeepSeek-V4-Pro-0813 and Mistral Small 3.1 24B Instruct?

Key differences include multimodal support (no vs yes), licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V4-Pro-0813 and Mistral Small 3.1 24B Instruct?

DeepSeek-V4-Pro-0813 is developed by DeepSeek and Mistral Small 3.1 24B Instruct is developed by Mistral AI.

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